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This Data Engineer role involves designing and implementing data pipelines using Microsoft Fabric, PySpark, and SQL to support analytics and data integration. The position requires experience with cloud data platforms and a focus on data quality, CI/CD, and performance optimization.
The Junior Data Engineer will optimize KDB+ processes and build analytics layers and APIs to support trading and AI/ML applications. The role involves collaborating with global teams to prepare data for model training and ensure system resilience.
The Data Engineer will work on a financial infrastructure project, assessing existing applications and collaborating with architects to design target data architectures and models using Python and PySpark.
The Cloud Data Engineer will design, build, and maintain scalable data platforms and ETL/ELT pipelines using cloud technologies like AWS or Azure. The role involves collaborating with data analysts and scientists to optimize data processing and support business analytical needs.
This Senior Data Engineer role involves designing and automating data pipelines for a subscription video-on-demand (SVOD) platform's financial reporting. The position focuses on building data products using Python, SQL, Google Cloud Platform, Airflow, and Terraform to integrate billing data.
The Staff Big Data Engineer will lead complex data migration projects from legacy systems to AWS, designing scalable pipelines using Python, Spark, and Apache Airflow. This role involves technical leadership, mentoring, and implementing modern data architectures using Apache Iceberg and Kubernetes.
This role involves developing and maintaining production-grade Big Data solutions and platform automation on Azure Databricks. The engineer will use Scala, Java, and Spark to build scalable infrastructure and CI/CD pipelines for a financial valuation and risk management platform.
The Senior Data Engineer will build and evolve modern data platforms using cloud technologies and large-scale data processing techniques. The role involves collaborating with cross-functional teams to deliver reliable data-driven solutions.
PwC Polska is hiring a Cloud Data Engineer to build and manage data platforms using Azure Databricks, MS Fabric, and Azure Data Factory. The role involves migrating legacy data, ensuring data quality, and supporting governance and MDM initiatives.
Senior Data Engineer building and developing GCP data warehouses and datamarts using BigQuery, Python, and SQL while collaborating with architects and business stakeholders.
The Senior Data Engineer will lead the migration of analytical environments from on-premise to Google Cloud Platform (GCP) to support business analytics and future AI/LLM initiatives. This role involves building a modern data platform for a major telecommunications operator.
The Senior Data Engineer will design and implement large-scale data platforms and data warehouse architectures for a global pharmaceutical project using AWS, ETL/ELT, and Big Data technologies.
The Senior SAP Datasphere Data Engineer will design and maintain data flows, create CDS views on S/4HANA, and manage BW to Datasphere migrations for a pharmaceutical client. The role focuses on FI/CO data modeling and HANA performance optimization within an Agile team.
This is an internship role at PwC Polska focused on cloud data engineering, where you will support data analysis, warehouse design, and ETL processes while learning about ML and AI technologies.
The Data Engineer will modernize and migrate data analytics processes using Google BigQuery, Dataform, and Python. The role involves designing scalable data pipelines and collaborating with engineering teams while based in Poland.
The Senior Big Data Engineer will design and maintain scalable batch and streaming ETL pipelines on the Databricks Lakehouse platform within Azure environments. The role involves optimizing data processing, implementing data governance with Unity Catalog, and collaborating with stakeholders to deliver production-ready data solutions.
The Data Engineer will design and implement data pipelines using Microsoft Fabric, Data Factory, and PySpark notebooks. The role involves onboarding data sources and performing technical data validation in a hybrid work environment.
Sii Poland is hiring a Data Engineer to manage data migration and modernization projects using Google BigQuery, Dataform, and Python. The role involves collaborating with analytics teams to build scalable data solutions from their Warsaw office.
The Expert Data Engineer will design, develop, and optimize data processing pipelines using MS SQL Server, SSIS, and Snowflake. The role involves collaborating with business analysts and cloud architects to manage large-scale data environments.
Build and optimize data pipelines on Google Cloud Platform using BigQuery and Dataform, supporting analytics modernization for a client’s platform.
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